计算机科学 ›› 2022, Vol. 49 ›› Issue (4): 56-66.doi: 10.11896/jsjkx.210900169
畅雅雯, 杨波, 高玥琳, 黄靖云
CHANG Ya-wen, YANG Bo, GAO Yue-lin, HUANG Jing-yun
摘要: 移动互联网时代,社交关系链的线上化已成为不可逆转的趋势。微信公众号的出现,在提升信息获取便捷性的同时也增加了系统信息治理的难度。因此,公众号信息在微信社交网络上的传播过程与遏制谣言在社交网络上的扩散的研究成为了微信运营者及社会监管部门关注的重点。本研究基于SEIR传染病模型,利用北京速途公司提供的真实运营数据,计算模拟S态、E态、I态和R态4类用户的相互转化概率,并还原公众号信息在微信上传播的全链路过程。此外,本研究还量化分析了公众号粉丝数量、粉丝影响力、潜在用户转化成携带用户的感染概率P1、携带用户转化成传播用户的传播概率P2对信息传播过程的影响,验证了意见领袖强行免疫策略在抑制信息传播方面的有效性。
中图分类号:
[1] SURHONE L M,TIMPLEDON M T,MARSEKEN S F.Social media measurement[J].Journal of Interactive Advertising,2009,10(1):94-99. [2] Watermelon data.Ecological Trend Survey Report of Q1 public account in2021 [EB/OL].(2021-06-02) [2021-05-20].https://new.qq.com/rain/a/20210602A031YK00. [3] FANG X D.Research on Wechat Communication Mechanismand Governance[J].Modern Communication,2013,35(6):122-127. [4] WANG Y J.Exploring the communication mechanism of vertical social networks from the perspective of user dexperience-- Ta-king microblog and Wechat as examples[J].Art Panorama,2016(7):161-161. [5] LI Y Z,ZHANG M T.Today’s Massmedia[J].Electronic Technology and Information Science,2017,25(12):17-19. [6] SONG Y K,LUO B.Research on rumor Spreading Mechanism in wechat moments[J].Journal of Editorial Writing,2020(4):112-114. [7] LI Q Q.The content communication characteristics of WeChat official account [J].China Publishing Journal,2018(16):50-53. [8] CAI G C.WeChat official account’s propagation characteristics and communication advantages[J].Journalism Probe,2021(9):101-102. [9] NIE Y H,CHEN H.Content is King:Research on the influencing factors of the official Wechat communication effect of archives[J].Archives Research,2019(6):53-59. [10] LIU G,WANG X Y.The influence of the headline characteristics on the dissemination of digital media content -- Based on the empirical study of the WeChat official account of news commentary[J].Journalism & Communication Review,2020,73(6):29-39. [11] JIANG Y B,LI Y W,LYU J X,et al.Research on communication power and Operation Strategy of wechat official Account of sci-tech periodicals[J].Journal of Editing,2020(3):257-261. [12] ZENG Y L,ZHOU L,ZHANG Y Y,et al.Strategies for improving the communication power of scientific academic journals’ WeChat official accounts[J].Tianjin Science and Technology,2020,47(8):108-110. [13] DIAO Y J,HE Y S,SHENG Y X.A two-stage model of new product diffusion in social networks[J].Soft Science,2017,31(10):115-119. [14] ZHU H M,YAN X,JIN Z,et al.Influence of wechat group on knowledge transmission in organizations from the perspective of coupled network[J].Systems Engineering,2020(2):1-10. [15] XU R Z,LI H L,XING C M.Research on Information Dissemination Model for Social Networking Services[J].International Journal of Computer Science and Application,2013,2(1):1-6. [16] WANG J,ZHAO L,HUANG R.SIRaRu rumor spreading mo-del in complex networks[J].Physica A:Statistical Mechanics and Its Applications,2014,398:43-55. [17] CANNARELLA J,SPECHLER J A.Epidemiological modelingof online social network dynamics[EB/OL].http://ifcfba1356eab492549echcqv5xpvxk9oq66x0.fzzh.libproxy.ruc.edu.cn/login.aspx?direct=true&db=edsarx&AN=edsarx.1401.4208&lang=zh-cn&site=eds-live. [18] WAN Y P,ZHANG D G,REN Q H.Propagation and inhibition of online rumor with considering rumor elimination process[J].Acta Physica Sinica,2015,64(24):240501. [19] PU C,LI S,YANG X,et al.Traffic-driven SIR Epidemic Spreading in Networks[J].Phusica A:Statistical Mechanics and Its Applications,2016,446:129-137. [20] LI D,MA J.How the government’s punishment and individual’s sensitivity affect the rumor spreading in online social networks[J].Physica A:Statistical Mechanics and Its Applications,2016,469:284-292. [21] MA J,LI D,TIAN Z.Rumor spreading in online social networks by considering the bipolar social reinforcement[J].Physica A:Statistical Mechanics and Its Applications,2016,447:108-115. [22] KAZUNORI S,MASATAKA N.The mechanism of collapse of the Friendster network:What can we learn from the core structure of Friendster?[J].Social Network Analysis and Mining,2017,7(1):10. [23] NIAN F,HU C,YAO S,et al.An immunization based on node activity[J].Chaos,Solitons and Fractals,2018,107:228-233. [24] ZHU L,ZHOU X,LI Y.Global dynamics analysis and control of a rumor spreading model in online social networks[J].Physica A:Statistical Mechanics and Its Applications,2019,526:120903. [25] MATHUR A,GUPTA C P.Dynamic SEIZ in Online SocialNetworks:Epidemiological Modeling of Untrue Information[J].International Journal of Advanced Computer Science and Applications (IJACSA),2020,11(7):577-585. [26] ZHANG Y,HUA S S,ZHANG H.SCIR information transmission model based on forwarding behavior influencing factors[J].Computer engineering,2018,44(11):282-599. [27] HE P.Modeling and analysis of microblog social network information dissemination based on multi-agent[D].Qingdao:Qing-dao University,2020. [28] GAO K.Research on Network Information Propagation Basedon Node State [D].Lanzhou:Lanzhou University of Technology,2020. [29] DENG W T,LI S J,CHEN K.Research on Network Information Transmission Model of wechat[J].Journal of Guangdong Institute of Petrochemical Technology,2018,28(1):43-47. [30] MA Q E,ZHANG J.Research on communication mechanism ofWeChat public Account based on SIR Model on complex Network[J].Information Science,2018,36(7):30-35. |
[1] | 王剑, 彭雨琦, 赵宇斐, 杨健. 基于深度学习的社交网络舆情信息抽取方法综述 Survey of Social Network Public Opinion Information Extraction Based on Deep Learning 计算机科学, 2022, 49(8): 279-293. https://doi.org/10.11896/jsjkx.220300099 |
[2] | 魏鹏, 马玉亮, 袁野, 吴安彪. 用户行为驱动的时序影响力最大化问题研究 Study on Temporal Influence Maximization Driven by User Behavior 计算机科学, 2022, 49(6): 119-126. https://doi.org/10.11896/jsjkx.210700145 |
[3] | 余皑欣, 冯秀芳, 孙静宇. 结合物品相似性的社交信任推荐算法 Social Trust Recommendation Algorithm Combining Item Similarity 计算机科学, 2022, 49(5): 144-151. https://doi.org/10.11896/jsjkx.210300217 |
[4] | 左园林, 龚月姣, 陈伟能. 成本受限条件下的社交网络影响最大化方法 Budget-aware Influence Maximization in Social Networks 计算机科学, 2022, 49(4): 100-109. https://doi.org/10.11896/jsjkx.210300228 |
[5] | 郭磊, 马廷淮. 基于好友亲密度的用户匹配 Friend Closeness Based User Matching 计算机科学, 2022, 49(3): 113-120. https://doi.org/10.11896/jsjkx.210200137 |
[6] | 李家文, 郭炳晖, 杨小博, 郑志明. 基于信息传播的致病基因识别研究 Disease Genes Recognition Based on Information Propagation 计算机科学, 2022, 49(1): 264-270. https://doi.org/10.11896/jsjkx.201100129 |
[7] | 王剑, 王玉翠, 黄梦杰. 社交网络中的虚假信息:定义、检测及控制 False Information in Social Networks:Definition,Detection and Control 计算机科学, 2021, 48(8): 263-277. https://doi.org/10.11896/jsjkx.210300053 |
[8] | 桑春艳, 胥文, 贾朝龙, 文俊浩. 社交网络中基于注意力机制的网络舆情事件演化趋势预测 Prediction of Evolution Trend of Online Public Opinion Events Based on Attention Mechanism in Social Networks 计算机科学, 2021, 48(7): 118-123. https://doi.org/10.11896/jsjkx.200600155 |
[9] | 谭琪, 张凤荔, 王婷, 王瑞锦, 周世杰. 融入结构度中心性的社交网络用户影响力评估算法 Social Network User Influence Evaluation Algorithm Integrating Structure Centrality 计算机科学, 2021, 48(7): 124-129. https://doi.org/10.11896/jsjkx.200600096 |
[10] | 张人之, 朱焱. 基于主动学习的社交网络恶意用户检测方法 Malicious User Detection Method for Social Network Based on Active Learning 计算机科学, 2021, 48(6): 332-337. https://doi.org/10.11896/jsjkx.200700151 |
[11] | 鲍志强, 陈卫东. 基于最大后验估计的谣言源定位器 Rumor Source Detection in Social Networks via Maximum-a-Posteriori Estimation 计算机科学, 2021, 48(4): 243-248. https://doi.org/10.11896/jsjkx.200400053 |
[12] | 张少杰, 鹿旭东, 郭伟, 王世鹏, 何伟. 供需匹配中的非诚信行为预防 Prevention of Dishonest Behavior in Supply-Demand Matching 计算机科学, 2021, 48(4): 303-308. https://doi.org/10.11896/jsjkx.200900090 |
[13] | 袁得嵛, 陈世聪, 高见, 王小娟. 基于斯塔克尔伯格博弈的在线社交网络扭曲信息干预算法 Intervention Algorithm for Distorted Information in Online Social Networks Based on Stackelberg Game 计算机科学, 2021, 48(3): 313-319. https://doi.org/10.11896/jsjkx.200400079 |
[14] | 谭琪, 张凤荔, 张志扬, 陈学勤. 社交网络用户影响力的建模方法 Modeling Methods of Social Network User Influence 计算机科学, 2021, 48(2): 76-86. https://doi.org/10.11896/jsjkx.191200102 |
[15] | 郁友琴, 李弼程. 基于多粒度文本特征表示的微博用户兴趣识别 Microblog User Interest Recognition Based on Multi-granularity Text Feature Representation 计算机科学, 2021, 48(12): 219-225. https://doi.org/10.11896/jsjkx.201100128 |
|